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I have two data sets about lots of companies' stock and fiscal data. One is monthly data with about 144,000 lines, and the other is quaterly with about 56,000. Each data set takes different company code. I need to merge these two together. I read both ask cvs. And the other file with corresponding firm code. Now I have three data sets. return$PERMNO, account$GVKEY. id is the data frames

I guess this is really basic. But I do not find an answer yet. I have a big data.frame. I would like to divede them into 10 deciles accounding to one of its member. Then I need a number for each decile with some computaion within each group. How to devide it?

Hi. I am a newbie to R. I need to do a courses projects with some manipulation lots of data record and some back-and-forth linear regression. I do not want to spend $100 for a SAS lincence, which professor used. So I decide to start to learn R to finish it. I am using R in Windows. I feel it is somehow works like mathemica. I try to write the work into a little program for future reference.

I need to run a regression with 14 normal variables and 20 dummy variables. All the data is in a huge data.frame df. But there is some extra intermediate item in the same data.frame too. It will be nice I can strip off those terms and run lm(). Also, is there a simple way to write the formula, for example, just specify the y term, all other term in data.frame should be x_i. Or is there some

I am still battling with my project :( I have a line like this lm(month.model$next.ret~.,month.model,na.action=na.omit) month.model is a data frame with lots of columns. One of them is "Oth", a dummy variable. I checked month.model, there are two rows with number 1 and others are either 0 or NA. the two rows with Oth==1 have no NA. I have totally about 900 rows. But after the

Hi. I am starting to learn R for a course project. I am relative OK c++ programer. I found the R is very different. I have read the "an introduction to R". I have to say it is not very newbie friendly. It does not explain many things clearly. And unfortunately, there is not too much introductory materials available on-line. I do not want to buy a book. For example, I found